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Items: 1 to 20 of 98

1.

Prediction of lipoprotein signal peptides in Gram-negative bacteria.

Juncker AS, Willenbrock H, Von Heijne G, Brunak S, Nielsen H, Krogh A.

Protein Sci. 2003 Aug;12(8):1652-62.

2.

Prediction of lipoprotein signal peptides in Gram-positive bacteria with a Hidden Markov Model.

Bagos PG, Tsirigos KD, Liakopoulos TD, Hamodrakas SJ.

J Proteome Res. 2008 Dec;7(12):5082-93. doi: 10.1021/pr800162c.

PMID:
19367716
3.

Genome-wide protein localization prediction strategies for gram negative bacteria.

Romine MF.

BMC Genomics. 2011 Jun 15;12 Suppl 1:S1. doi: 10.1186/1471-2164-12-S1-S1.

4.

Evaluation of signal peptide prediction algorithms for identification of mycobacterial signal peptides using sequence data from proteomic methods.

Leversen NA, de Souza GA, Målen H, Prasad S, Jonassen I, Wiker HG.

Microbiology. 2009 Jul;155(Pt 7):2375-83. doi: 10.1099/mic.0.025270-0. Epub 2009 Apr 23.

5.

Improved prediction of signal peptides: SignalP 3.0.

Bendtsen JD, Nielsen H, von Heijne G, Brunak S.

J Mol Biol. 2004 Jul 16;340(4):783-95.

PMID:
15223320
6.
7.

Pattern searches for the identification of putative lipoprotein genes in Gram-positive bacterial genomes.

Sutcliffe IC, Harrington DJ.

Microbiology. 2002 Jul;148(Pt 7):2065-77.

PMID:
12101295
8.

A neural network method for identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.

Nielsen H, Engelbrecht J, Brunak S, von Heijne G.

Int J Neural Syst. 1997 Oct-Dec;8(5-6):581-99.

PMID:
10065837
10.

Combined prediction of transmembrane topology and signal peptide of beta-barrel proteins: using a hidden Markov model and genetic algorithms.

Zou L, Wang Z, Wang Y, Hu F.

Comput Biol Med. 2010 Jul;40(7):621-8. doi: 10.1016/j.compbiomed.2010.04.006. Epub 2010 May 21.

PMID:
20488436
11.

Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Krogh A, Larsson B, von Heijne G, Sonnhammer EL.

J Mol Biol. 2001 Jan 19;305(3):567-80.

PMID:
11152613
12.

PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria.

Gardy JL, Spencer C, Wang K, Ester M, Tusnády GE, Simon I, Hua S, deFays K, Lambert C, Nakai K, Brinkman FS.

Nucleic Acids Res. 2003 Jul 1;31(13):3613-7.

13.

Sequence-based prediction of type III secreted proteins.

Arnold R, Brandmaier S, Kleine F, Tischler P, Heinz E, Behrens S, Niinikoski A, Mewes HW, Horn M, Rattei T.

PLoS Pathog. 2009 Apr;5(4):e1000376. doi: 10.1371/journal.ppat.1000376. Epub 2009 Apr 24. Erratum in: PLoS Pathog. 2009 Apr;5(4). doi: 10.1371/annotation/78659a32-7869-4b14-91a6-b301a588d937.

14.

SPEPlip: the detection of signal peptide and lipoprotein cleavage sites.

Fariselli P, Finocchiaro G, Casadio R.

Bioinformatics. 2003 Dec 12;19(18):2498-9.

15.

Prediction of twin-arginine signal peptides.

Bendtsen JD, Nielsen H, Widdick D, Palmer T, Brunak S.

BMC Bioinformatics. 2005 Jul 2;6:167.

16.

Prediction of signal peptides and signal anchors by a hidden Markov model.

Nielsen H, Krogh A.

Proc Int Conf Intell Syst Mol Biol. 1998;6:122-30.

PMID:
9783217
17.

MetaLocGramN: A meta-predictor of protein subcellular localization for Gram-negative bacteria.

Magnus M, Pawlowski M, Bujnicki JM.

Biochim Biophys Acta. 2012 Dec;1824(12):1425-33. doi: 10.1016/j.bbapap.2012.05.018. Epub 2012 Jun 15.

PMID:
22705560
18.

Advantages of combined transmembrane topology and signal peptide prediction--the Phobius web server.

Käll L, Krogh A, Sonnhammer EL.

Nucleic Acids Res. 2007 Jul;35(Web Server issue):W429-32. Epub 2007 May 5.

19.

A database of bacterial lipoproteins (DOLOP) with functional assignments to predicted lipoproteins.

Babu MM, Priya ML, Selvan AT, Madera M, Gough J, Aravind L, Sankaran K.

J Bacteriol. 2006 Apr;188(8):2761-73.

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